AI QA Coder: Review & Improve AI Code Gen (Remote LATAM)

Outlier

Monterrey

Remote

MXN 718,000 - 1,023,000

Full time

48 hours ago
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Benefits offered by this job

Up to $34 USD/hr (core project work)

Job summary

Outlier is offering a remote QA coding program for experienced software engineers to help train AI models in code generation. You will review AI-produced code, rate model responses, and craft clear computer science prompts.

This freelance 1099 contract opportunity offers flexible location across LatAm, with opportunities to work from anywhere while contributing to real AI work and getting access to leading LLMs.

Qualifications

  • Completed a Bachelor's degree or higher in Computer Science from a selective institution.
  • Software engineering experience contributing to a live production codebase ideally for a technology company.
  • Ability to articulate complex concepts fluently in written and spoken English.
  • Excellent attention to detail, including grammar, punctuation, and style guidelines.

Responsibilities

  • Review AI-generated code: Read through code produced by AI models and flag errors, inconsistencies, or quality issues using structured guidelines.
  • Rate and rank model responses: Score responses across key dimensions — accuracy, instruction following, and presentation — to help improve model output.
  • Write computer science questions: Develop clear, well-structured prompts that challenge AI models and push the boundaries of their coding ability.

Skills

Attention to detail
Written English
English communication

Education

Bachelor's degree in Computer Science

Job description

Outlier is offering a remote QA coding program for experienced software engineers to help train AI models in code generation. You will review AI-produced code, rate model responses, and craft clear computer science prompts.

This freelance 1099 contract opportunity offers flexible location across LatAm, with opportunities to work from anywhere while contributing to real AI work and getting access to leading LLMs.

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